Computer Science Master's Degree - Machine Learning offered by Columbia University
- Private University
1 Campus- Estd. 1754
Computer Science Master's Degree - Machine Learning at Columbia University Overview
Duration | 24 months |
Total fee | ₹53.73 Lakh |
Mode of learning | Online |
Course Level | PG Degree |
Computer Science Master's Degree - Machine Learning at Columbia University Highlights
- Earn a master degree from Columbia University
Computer Science Master's Degree - Machine Learning at Columbia University Course details
- For students who wish to develop their knowledge of machine learning techniques and applications
- Machine learning is a rapidly expanding field with many applications in diverse areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, information retrieval, and other areas
Computer Science Master's Degree - Machine Learning at Columbia University Curriculum
Track Course A
Introduction to Computational Learning Theory
Machine Learning*
Machine Learning for Data Science
Advanced Machine Learning
Foundations of Graphical Models
Track Course B
Computer Vision
Natural Language Processing
Computational Aspects of Robotics
Artificial Intelligence
Elective Track Course
Introduction to Computational Learning Theory
Algorithms for Data Science
Intro to Natural Language Processing
Computer Vision
Computational Aspects of Robotics
Biometrics
Computational Genomics
Machine Learning*
Machine Learning for Data Science*
Advanced Machine Learning
Machine Learning for Data Science
Visit the topics courses page to see which apply to this track
Advanced Database Systems
Analysis of Algorithms II
Advanced Topics in Computational Learning Theory
Information Theory
Visual Databases
Biometrics
Projects in Computer Science (advisor approval required)
Visit the topics courses page to see which apply to this track
Bayesian Models in Machine Learning
Large-Scale Machine Learning
Sparse Signal Modeling
Modeling Social Data
Neural Networks and Deep Learning
Neural Networks and Deep Learning Research
Bayesian Models of Machine Learning
Speech Recognition
Big Data Analytics
Topic Adv Big Data Analytics
Deep Learning for Computer Vision and Natural Language Processing
Sparse Representations and Higher Dimensional Geometry
Probability and Statistics (formerly SIEO W4150)
Optimization I
Optimization Methods in Machine Learning
Big Data & Machine Learning
Reinforcement Learning
Advanced Robotic Manipulation
Computer Science Master's Degree - Machine Learning at Columbia University Entry Requirements
- Education: Undergraduate degree in computer science
- Prerequisite: 3 recommendation letters, transcripts, resume, and a personal-professional statement are required
- Applicants with degrees in other disciplines required to completed 4 computer science courses and 2 math courses
- Qualified TOEFL/IELTS for candidates having qualification in languages other than English
- Graduate Record Examinations test required
- Not mentioned
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